Machine Learning

Machine Learning is the field in Artificial Intelligence dealing with models and algorithms to develop computer programs able to improve their performance during execution.

This reasearch field includes several learning pradigms (e.g., supervised learning, unsupervised learning, and reinforcement learning) or techniques (e.g., neural networks, genetic algorithms, decision trees, etc.). Recently all these techniques have been applied to Data Mining that can be thought as the natural complementation between Statistics, Artificial Intelligence, and Databases. Its main goal is to develop algorithms and techniques to extract knowledge from huge data repositories.

Ongoing Projects

Batch Learning for Poker http://airwiki.elet.polimi.it/mediawiki/index.php/Batch_Learning_for_Poker

People

• AndreaBonarini
• CarloDEramo
• DavideTateo
• LuigiMalago
• MarcelloRestelli
• MatteoMatteucci
• MirzaRamicic
• PierLucaLanzi

Past Projects

• Batch Learning for Poker
• Machine Learning for Crop Weed Classification
• Product based variables transformations for evolutionary computing
• Q Fitted Algorithm: The Dam Problem